Updates from campus: Read the latest from MIT and its leaders regarding events on campus.
DrivAerNet++, the largest open-source dataset for car aerodynamics developed to date, can be used to quickly train an AI model to generate novel car designs. This process could lead to more fuel-efficient cars and electric vehicles with longer range.
A new method using generative AI produces sharp, lifelike 3D shapes that are closer in quality to the best model-generated 2D images. The system could be “a co-pilot for designers, making it easier to create more realistic 3D shapes,” Artem Lukoianov says.
A new photonic processor uses light to perform the key operations of a deep neural network on a chip. The advance opens the door to ultrafast AI computations with extreme energy efficiency, for demanding applications like lidar, astronomical research, and navigation.
Nataša Dragović ’14 is general secretary of the International Olympiad on Astronomy and Astrophysics. She was previously president of the USA Astronomy and Astrophysics Organization, coordinating an annual competition and coaching top US students.
Catherine D’Ignazio collaborates with communities that are using data to provide a better picture of civic issues. “When we talk about innovation, I think: Innovation for whom? And by whom? For me those are key questions,” she says.
As a physician and an engineer, Giovanni Traverso brings a unique perspective to the mission of improving patient care. In developing new biomedical devices and therapies, “not only can we help individuals,” he says, “we can help populations.”
By studying the mobula ray’s efficient filter-feeding system, mechanical engineers developed a new design for industrial water filters. “We have provided practical guidance on how to actually filter as the mobula ray does,” Xinyu Mao says.